An Efficient DOA Estimation Method for FH Signals Based on MSST

Y. Liu, Rongchen Sun, K. Guo, Xin Zhang, M. Diao
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Abstract

In order to make full use of the spatial information of frequency-hopping (FH) signals to estimate the direction of arrival (DOA) of signals, an efficient DOA estimation algorithm based on multisynchrosqueezing transform (MSST) and nested array is proposed based on the spatial-time-frequency analysis of signals. In order to reduce the complexity of time-frequency analysis and processing of array element data, the nested array is used to receive data, and the MSST with both time-frequency resolution can be used for hop extraction to construct the spacetime-frequency matrix of frequency-hopping signal. After vectorizing the data, the redundancy and rearrangement operations are carried out to remove the redundant array element data, and then the Toeplitz matrix is constructed. DOA estimation is carried out by subspace class algorithm. The simulation results show that this method can improve the estimation accuracy and reduce the algorithm complexity compared with traditional space-time frequency processing algorithms.
一种基于MSST的跳频信号DOA估计方法
为了充分利用跳频信号的空间信息来估计信号的到达方向(DOA),在对信号进行空时频分析的基础上,提出了一种基于多同步压缩变换和嵌套阵列的高效到达方向估计算法。为了降低阵列元素数据时频分析和处理的复杂性,采用嵌套阵列接收数据,同时具有时频分辨率的MSST可用于跳频提取,构建跳频信号的空时频矩阵。将数据向量化后,进行冗余和重排操作,去除冗余数组元素数据,然后构造Toeplitz矩阵。采用子空间类算法进行DOA估计。仿真结果表明,与传统的空时频率处理算法相比,该方法提高了估计精度,降低了算法复杂度。
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